class_docstr: Abstract container mirroring Sklearn regressors API.
code: def __init__(
      self,
      model,
      n_threads,
      batch_size,
      is_regression=True,
      is_anomaly_detection=False,
      extra_config={},
      **kwargs,
  ):
      super(SklearnContainerRegression, self).__init__(
          model, n_threads, batch_size, extra_config
      )
  
      assert not (is_regression and is_anomaly_detection)
  
      self._is_regression = is_regression
      self._is_anomaly_detection = is_anomaly_detection
  
imports: from abc import ABC, abstractmethod
  from hummingbird.ml._utils import pandas_installed
  from hummingbird.ml.operator_converters import constants
label_desc: Use image node_id 1 to create a new SklearnContainerRegression object from inherited base classes: SklearnContainer with example: obj = SklearnContainerRegression(model, n_threads, batch_size, is_regression, is_anomaly_detection, extra_config)